A Lightweight and User-Friendly EoH Framework for LLM-driven Automated Algorithm/Heuristic Design Heuristics are indispensable for tackling complex search and optimization problems. However, manual ...
The method treats inference-time optimization as a sequential decision problem where each LLM generation has a random reward and associated cost. The authors develop a UCB-style algorithm that ...
The algorithm runs in stages over a period of T days for each user, but can also be run online. At each time step, the policy uses a greedy ϵ approach to select an action, executes that action in the ...
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